Ike Nassi
Impact in
- Software top 5%
- Model-Driven Software Engineering Techniques
- Software Testing and Debugging Techniques
- Information Systems top 5%
- Software Engineering Research
Papers in
-
- Cloud Computing and Resource Management 5
- Information and Cyber Security 1
- Service-Oriented Architecture and Web Services 1
-
- Advanced Data Storage Technologies 3
- Software System Performance and Reliability 1
- Co-authors
- Ben Shneiderman (1 shared paper)Carlos Maltzahn (3 shared papers)Scott Brandt (3 shared papers)N. W. Watkins (1 shared paper)Sage A. Weil (1 shared paper)C. Gordon Bell (1 shared paper)Vandana P. Janeja (1 shared paper)John Paczkowski (1 shared paper)
- Journals
- Computer (3 papers)ACM SIGPLAN Notices (1 paper)Lecture notes in computer science (1 paper)Proceedings - International Conference on Data Engineering (1 paper)TUbilio (Technical University of Darmstadt) (1 paper)
- Partner nations
- United StatesNetherlandsEgypt
In The Last Decade
Ike Nassi
11 papers receiving 363 citations
Peers
Comparison fields: 5 of 61
- Software 123
- Information Systems 201
- Computer Science Applications 49
- Hardware and Architecture 54
- Computer Networks and Communications 126
Countries citing papers authored by Ike Nassi
This map shows the geographic impact of Ike Nassi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ike Nassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ike Nassi more than expected).
Fields of papers citing papers by Ike Nassi
This network shows the impact of papers produced by Ike Nassi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ike Nassi. The network helps show where Ike Nassi may publish in the future.
Co-authors
The 13 scholars most cited alongside Ike Nassi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1973 | 362 | |
| 2 | 2015 | 24 | |
| 3 | 2009 | 16 | |
| 4 | 1981 | 12 | |
| 5 | 2013 | 10 | |
| 6 | 2018 | 6 | |
| 7 | 2014 | 4 | |
| 8 | 2017 | 3 | |
| 9 | 2010 | 2 | |
| 10 | 2007 | 2 | |
| 11 | 2006 | 1 | |
| 12 | 2007 | 0 |
About Ike Nassi
Ike Nassi is a scholar working on Information Systems, Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence and Sociology and Political Science, having authored 12 papers that have together received 442 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (5 papers), Parallel Computing and Optimization Techniques (4 papers), Advanced Data Storage Technologies (3 papers), Software System Performance and Reliability (1 paper), Access Control and Trust (1 paper), Cryptography and Data Security (1 paper), Information and Cyber Security (1 paper) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Software (123 citations), Information Systems (201 citations), Computer Science Applications (49 citations), Hardware and Architecture (54 citations) and Computer Networks and Communications (126 citations). Ike Nassi has collaborated with scholars based in United States, Netherlands and Egypt. Frequent co-authors include Ben Shneiderman, Carlos Maltzahn, Scott Brandt, N. W. Watkins, Sage A. Weil, C. Gordon Bell, Vandana P. Janeja, John Paczkowski, Ming-Chien Shan and Nabil R. Adam. Their work appears in journals such as Computer, ACM SIGPLAN Notices, Lecture notes in computer science, Proceedings - International Conference on Data Engineering and TUbilio (Technical University of Darmstadt).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.